Exploring the effects of omitted variable bias in physics education research
Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is parti...
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Autores principales: | Cole Walsh, Martin M. Stein, Ryan Tapping, Emily M. Smith, N. G. Holmes |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
American Physical Society
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/3553fa02740a49ce869323f6437a550c |
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